29 results about "Pulmonary function testing" patented technology

The invention provides a breathing mode analysis method and device based on a calm breathing pressure difference waveform and electronic equipment, and relates to the technical field of medical signal processing and artificial intelligence, and the method comprises the following steps: obtaining a calm breathing pressure difference original signal of a target user; preprocessing the calm breathing pressure difference original signal to obtain a target waveform sequence; performing feature extraction based on the target waveform sequence to obtain a plurality of dimension features; combining the at least two dimension features to obtain a multi-modal feature; and inputting the multi-modal features into a trained classification model, and outputting a breathing pattern classification result. According to the method, the whole analysis process is completely based on natural calm breathing, special cooperation or forced breathing actions of the user are not needed, the pain point that traditional lung function examination has a high requirement for the user cooperation degree is solved, and auxiliary decision making of chronic respiratory diseases is achieved.

The invention discloses a voice coil motor-based pulse oscillation lung function instrument, which comprises a rotating bracket, and an IOS gas mixing structure is mounted on the rotating bracket; the pulse oscillation generation module comprises a shell, a motor support is fixedly connected into the shell, a voice coil motor is fixedly connected to the motor support, a motion guide column is installed on the voice coil motor, the voice coil motor is in transmission connection with the motion guide column, the shell is provided with an output port, and a diaphragm structure is fixedly connected to the motion guide column and located at the output port. The output port is communicated with the IOS gas mixing structure, and a sensor module is arranged on the IOS gas mixing structure; and the air tap is mounted on the IOS gas mixing structure. The device is suitable for people who are difficult to complete traditional lung function examination, can detect subtle changes which are difficult to find by a traditional lung function instrument, can distinguish resistance changes of the central airway and the peripheral airway through oscillation signals with different frequencies, and provides richer diagnosis information.

1. Name of the designed product: nose clip for pulmonary function test. 2. Use of the designed product: used for clamping the patient's nose during pulmonary function test. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: perspective view.

The utility model discloses a nasal splint fixing device applied to lung function measurement and examination, which comprises a working box, a rectangular groove is arranged on the side wall of the working box, a movable groove is arranged on the top wall of the working box, a clamping component is arranged in the working box, and a motor, a positive and negative screw rod, a sliding seat and a limiting rod are arranged in the clamping component. The side wall of the motor is fixedly connected to the inner side wall of the working box, a positive and negative screw is installed at the output end of the side face of the motor, the side wall of the positive and negative screw is movably connected to the inner side wall of the working box through a bearing, sliding bases are symmetrically connected to the positive and negative screw, supporting rods are fixedly connected to the side walls of the sliding bases, and the side ends of the supporting rods extend outwards through rectangular grooves. Clamping plates are fixedly connected to the opposite side walls of the supporting rods, the buffering pads are arranged, clamping of the limiting blocks is more stable, the limiting plates, the limiting grooves and the movable rods are used, so that the pressing plates move linearly, stability is high, non-slip mats are convenient to disassemble and assemble, cleanliness and sanitation are achieved, practicability is higher, and flexibility is higher.

The utility model discloses a blowing nozzle structure for lung function testing, which comprises a blowing nozzle cover body, a connecting pipe capable of filtering blown air is arranged at the bottom of the blowing nozzle cover body, a filter screen is arranged in the connecting pipe, a detachable auxiliary blowing pipe is arranged in the blowing nozzle cover body and corresponds to the position of the connecting pipe, and the auxiliary blowing pipe is connected with the connecting pipe. The bottom of the connecting pipe is fixedly connected with a connecting nozzle used for being connected with the connecting pipe. According to the lung function instrument, the filter screen is arranged, air blown out by a patient can be effectively filtered, so that impurities such as saliva and secretions in exhaled air are effectively prevented from entering the lung function instrument, cross infection is effectively prevented, meanwhile, the detachable auxiliary blowpipe is arranged, and the auxiliary blowpipe can be conveniently used according to the requirements of the patient. When the blowing nozzle is used, the auxiliary blowing pipe is inserted into the connecting pipe to blow air in the mouth, or the auxiliary blowing pipe can be pulled out, and the blowing nozzle cover body covers the mouth to blow air, so that the use flexibility of the blowing nozzle is improved.

This invention relates to the field of medical data mining technology, specifically to an automatic analysis and classification system for pulmonary function test data based on big data. First, it calculates a single-channel weighted evolution index based on the variation deviation of multi-channel data time-series curves, capturing the dynamic evolution characteristics of each dimension within a continuous observation window. Then, it combines the variation trend deviation between multiple channels to accurately assess the feature response sensitivity of each dimension in response to changes in pathological states. Finally, by comparing the differences between current data and historical lesion characteristics, it quantifies the discriminative contribution of each dimension when considering historical data for each lesion type. This allows the weighted discriminative signal intensity obtained based on feature response sensitivity and discriminative contribution to more comprehensively evaluate the sample contribution of each pulmonary function test dimension. This results in higher accuracy in training the classification model using the weighted discriminative signal intensity as sample weights, thereby improving the accuracy of pulmonary function test data classification.

The invention pertains to the use of a specific biomarker of elastin degradation (desmosine) that measures the extent and progression of chronic obstructive pulmonary disease (COPD). In addition to potentially serving as a screening procedure for COPD, it provides a real-time measure of COPD drug efficacy and may therefore supersede the use of less sensitive tests such as pulmonary function studies and computed tomography. Equally important, the current invention constitutes a marked improvement for measuring desmosine in tissues and body fluids by greatly shortening the time for detection of this molecule in liquid chromatography-tandem mass spectrometry (LC-MS-MS) assays that are the gold standard for such measurements. Unlike previous methods, the invention allows for the use of LC-MS-MS without modification, so the method can be applied to any laboratory that uses this equipment for other measurements. This would include forensic facilities that need to determine if undiagnosed COPD played a role in the loss of life.

The invention relates to the field of medication compliance evaluation, in particular to an intelligent evaluation system for chronic obstructive pulmonary disease medication compliance. According to the system, firstly, an array formed by medicine inhalation data of all dimensions when a patient takes medicine each time is used as a characteristic vector of the patient in the medicine each time, and according to the difference between the characteristic vector of the patient in the medicine each time and a standard characteristic vector and the deviation condition of the characteristic vector of the patient in the medicine each time, the characteristic vector of the patient in the medicine each time is calculated. The method comprises the following steps: acquiring the normalization degree of each time of medication of a patient, acquiring the lung function index change rate of each time of lung function examination of the patient and the medicine inhalation change rate of each time of medication of the patient, and acquiring the correlation coefficient of the patient according to the change difference between the lung function index change rate of the patient and the medicine inhalation change rate in time sequence; and based on the correlation coefficient, adjusting the normalization degree of each time of medication of the patient, and evaluating the medication compliance of the patient. According to the method, the medication compliance of the patient can be accurately evaluated.

The invention relates to the technical field of medical data mining, in particular to a lung function examination data automatic analysis and classification system based on big data, which comprises the following steps: firstly, calculating a single-channel weighted evolution index based on change deviation of a multi-channel data time sequence curve, and capturing dynamic evolution characteristics of each dimension in a continuous observation window; furthermore, the characteristic response sensitivity of each dimension in response to pathological state change is accurately evaluated in combination with data change trend deviation among multiple channels; and finally, by comparing the difference between the current data and the historical lesion features, quantizing the discrimination contribution degree of each dimension when the historical data of each lesion type is considered. The sample contribution of each lung function examination dimension can be evaluated more comprehensively by the weighted discrimination signal intensity obtained based on the feature response sensitivity and the discrimination contribution degree; the accuracy of classification model training is higher when the weighted discrimination signal intensity is used as the sample weight, and the accuracy of lung function examination data classification is improved.

The utility model discloses a nasal splint for testing lung function, which relates to the field of measuring devices for examining respiratory organs and comprises a nasal splint main body, a clamping head, a connecting rod, a clamping strip and a silicon rubber case. The middle part of the connecting rod is rotatably arranged in the mounting hole in a penetrating manner and is in interference fit with the mounting hole; clamping strips are fixedly arranged at the left and right ends of the connecting rod; after the nose clip is assembled with the glasses, the clip strip and the nose clip main body are respectively positioned on the front side and the rear side of lenses of the glasses. Therefore, by means of the assembling relation of the clamping strips, the elastic pieces and the glasses, the nose clip body is fixed in an auxiliary mode. Therefore, the nose clip main body can be prevented from shaking when the patient inhales and exhales forcibly, so that air leakage of the nose in the lung function test process is prevented, the test accuracy is ensured, and meanwhile, the patient can feel more comfortable.

The invention relates to the technical field of medical diagnosis assistance, and discloses an intelligent medical diagnosis assistance method and system based on a lung function determinator, and the method comprises the following steps: obtaining multi-source data, and carrying out the timestamp synchronous correction processing of the data; judging a physiological stable state, and setting / judging a dynamic stable interval set; carrying out trend analysis judgment and instrument cumulative performance deviation judgment; instrument offset judgment and compensation are carried out, offset is calculated, and data are corrected; and generating a reference model reflecting the respiratory function of the patient according to the compensated lung function data. Through multi-device data fusion and an intelligent compensation algorithm, the accuracy of lung function evaluation is improved, illness state true changes and instrument errors can be effectively discriminated, and doctors are helped to more accurately evaluate disease progression and treatment effects.

The invention relates to the technical field of data processing, in particular to a system and a method for auxiliary analysis of hormone-sensitive chronic cough, and the method comprises the following steps: collecting target indexes of a patient, including allergic disease history, sour regurgitation heartburn symptom, hematophilic granulocyte count, CRP, IgE, FEV1 / FVC and FeNO; preprocessing the target index to obtain a preprocessed index; and generating a risk score corresponding to the hormone-sensitive chronic cough according to the pretreatment index. In order to solve the problems that in the prior art, hormone-sensitive cough diagnosis indexes need to depend on a complex detection instrument to be collected, and implementation is difficult, on the basis of regression analysis, the indexes of auxiliary analysis are determined to be clinical data which can be obtained easily based on clinical symptoms, blood routine indexes, lung function examination and the like of a patient, and the hormone-sensitive cough diagnosis indexes are obtained. And a related auxiliary analysis system is established, so that complex instruments required in the traditional medical examination process are omitted, and the medical examination process can be quickly completed in any level of medical institutions.

This application provides a plethysmography chamber and a method for disinfecting the plethysmography chamber. The plethysmography chamber includes a controller, a chamber body, and a detection module. A disinfection device is installed inside the chamber body. The controller is electrically connected to the detection module and the disinfection device. The detection module is configured to perform lung volume detection under the control of the controller. The controller is configured to: acquire the status information of the plethysmography chamber; determine if the status information of the plethysmography chamber meets preset conditions, and control the disinfection device to perform disinfection. Thus, the plethysmography chamber can automatically acquire its status information and automatically disinfect itself when the status information meets preset conditions, addressing the current disinfection requirements for chambers used in clinical pulmonary function testing.

Diagnostic equipment for use in respiratory and pulmonary function testing.

This utility model provides a nose clip for pulmonary function testing, relating to the technical field of pulmonary function nose clips. It includes a nose clip and a buffer sleeve. The upper part of the nose clip has an arched surface, and handles are located in the middle of both the left and right sides of the nose clip. A buffer sleeve is fitted onto each handle, and the buffer sleeve is detachably connected to the handle. Pull handles are connected to the lower parts of both the left and right sides of the nose clip, and the pull handles have an L-shaped plate structure. The nose clip is made of PC plastic, and the arched surface has an arc-shaped arched structure. Upper limit blocks are provided on both the upper left and right sides of the handles, and lower limit blocks are provided on both the lower left and right sides of the nose clip. The buffer sleeve is located between the upper and lower limit blocks. Anti-slip textures are provided on both sides of the pull handles, and the anti-slip textures are made of rubber anti-slip strips. This utility model provides a softer and more comfortable grip on the nose, is stable and anti-slip, and is easy to assemble or disassemble, making it more flexible, convenient, and safe.

This invention relates to the field of medical auxiliary technology, specifically to a system for assisting in the interpretation of pediatric pulmonary function test data. This system, through the cooperation of multiple modules, can achieve the following steps: acquiring target measurement data of the child to be tested and each reference healthy child under different preset factors, and acquiring the lung volume curve corresponding to each reference healthy child; determining the local importance of each preset factor for each pair of reference healthy children; determining the overall interpretation importance corresponding to each preset factor; based on the overall interpretation importance corresponding to different preset factors, and the differences between the target measurement data of the child to be tested and each reference healthy child under the same preset factor, determining the marginal bias of the child to be tested under each preset factor, and evaluating the applicability of using the GLI equation for interpreting pulmonary function test data of the child to be tested, thereby improving the effectiveness of assisting in the interpretation of pediatric pulmonary function test data.

A method for testing lung function of a user donning a user interface includes administering a supplemental breathing test in response to receiving an input from the user selecting the supplemental breathing test. The user interface is coupled, via a conduit, to a respiratory therapy device in a respiratory therapy system. Moreover, the supplemental breathing test is administered by adjusting parameters of the respiratory therapy device. The method also includes receiving first airflow parameter data associated with a first airflow generated by the user. The first airflow is generated by the user into an interior of the user interface while donning the user interface. The method also includes characterizing the lung function of the user based at least in part on the first airflow parameter data.

Provided in the present disclosure is an automatic oxygen supply regulation system, comprising an oxygen saturation detection unit, a belt assembly, an oxygen supply regulation unit, and a processing unit. The oxygen saturation detection unit detects an oxygen saturation of a user. The belt assembly is used for obtaining belt parameter changes caused by the breathing of the user. The oxygen supply regulation unit regulates the oxygen supply from an oxygen supply source to a user interface unit. The processing unit determines the most suitable flow rate of oxygen to be supplied according to the oxygen saturation, and according to the belt parameter changes of the user corresponding to different breathing states, establishes a correlation between tidal volume changes and the belt parameter changes. The processing unit also determines a target flow rate of oxygen for the real-time breathing state of the user according to the correlation, and controls the oxygen supply regulation unit to regulate the oxygen supply to the user interface unit, so as to reach the target flow rate of oxygen. In addition, in order to achieve an optimal correlation between the belt parameter change and the tidal volume change, the present disclosure also cooperates with the lung function examination and applies the belt assembly to confirm the correspondence between the tidal volumes obtained in different lung function examinations and the belt parameter changes as a setting basis for the subsequent regulation of oxygen by the oxygen supply regulation unit.

The invention discloses a virtual simulation training system and method for pulmonary function examination teaching, equipment and a medium, and relates to the field of virtual simulation training technology teaching. The system comprises a knowledge point learning module, a simulation exercise module and a training assessment module. The knowledge point learning module, the simulation exercise module and the training assessment module are in communication connection in pairs. In the virtual simulation training system for pulmonary function examination teaching, the knowledge point learning module, the simulation practice module and the training assessment module cooperate with one another, a real clinical target pulmonary function examination virtual scene can be effectively simulated, an immersive training learning mode is provided for students, and the teaching and training quality is improved.

This utility model discloses a pediatric pulmonary function testing device. The device includes a main body and a valve tube installed on the main body for controlling the entry of exhaled gas into the device. A mouthpiece is installed on the valve tube, and a fixed rod and a telescopic rod control the flow of exhaled gas into the airway. The pediatric pulmonary function testing device provided by this utility model achieves the effect of controlling the entry of exhaled gas into the device through the valve tube. Simultaneously, a spring controls the pressure between the exhalation mask and the skin at the mouth. When the pressure reaches a sealing effect between the exhalation mask and the skin, the valve tube precisely allows the exhaled gas to pass through. This provides guidance for children using the device and improves the accuracy of the test results.

This application provides a multi-parameter monitoring system, which includes a detection module, a main unit, and a storage box. The detection module is used to measure various physiological parameters of the subject and includes a pulmonary function testing instrument. The main unit is used for communication connection with the detection module and includes: a housing, including a front housing and a rear housing, which form a receiving cavity; a support plate located in the receiving cavity; a processing module located inside the housing and used for communication connection with the detection module, which is mounted on the support plate; a display screen; an alarm; and a wireless communication module capable of synchronizing measurement data to a mobile terminal. The multi-parameter monitoring system provided by this application can improve assembly efficiency, is easy to carry, and can meet the needs of pulmonary function-related tests, while allowing the operator to remotely view the measurement data in real time.

The invention provides a pulmonary function examination and diagnosis method and device based on artificial intelligence mixed feature recognition, and the method comprises the steps: obtaining personal information representing the health features of a subject, and carrying out the extraction to obtain information features; feature extraction is carried out on the multiple lung function examination images of the subject, and the time sequence feature of each lung function examination image is obtained; and constructing a multi-channel lung function diagram based on the plurality of lung function examination images of the subject, and performing feature extraction on the multi-channel lung function diagram to obtain multi-channel image features. The invention provides a pulmonary function examination and diagnosis method based on artificial intelligence mixed feature recognition. Fusion examination and diagnosis of various types of pulmonary function examination images are achieved.

The invention relates to the technical field of medical assistance, in particular to a children lung function examination data auxiliary interpretation system which can realize the following steps through mutual cooperation of a plurality of modules: obtaining target measurement data of a to-be-detected child and each reference healthy child under different preset factors, obtaining a lung volume curve corresponding to each reference healthy child; determining the local importance of each preset factor for every two reference healthy children; determining the overall interpretation importance corresponding to each preset factor; determining the edge deviation of the to-be-detected child under each preset factor according to the overall interpretation importance corresponding to different preset factors and the difference between the target measurement data of the to-be-detected child and the target measurement data of each reference healthy child under the same preset factor; and the applicability of using the GLI equation to perform lung function examination interpretation on the to-be-detected child is evaluated, so that the child lung function examination data auxiliary interpretation effect is improved.

This invention discloses a method for classifying lung function status based on a quantitative reporting template. It identifies lung function categories in lung function tests, determines the detection elements matching each category, plans the status levels for each category, and defines the numerical range for each status level. The method then calculates the correlation value between each detection element and its matching category using a first weighted average. The correlation values ​​of the detection element values ​​are then summed to obtain the current functional distribution value for each lung function category and determine its corresponding status level. Finally, a second weighted average is performed based on the influence weights of different status levels on the degree of lung parenchymal damage, resulting in a total liver score reflecting parenchymal damage. The overall liver condition is then determined based on this total liver score. This invention can help medical personnel quickly obtain accurate lung function diagnostic results.

The invention discloses a COPD patient lung function examination system based on a virtual reality technology, and relates to the technical field of medical auxiliary examination. The system comprises virtual reality hardware equipment, a self-developed respiration sensing unit, a data processing unit, a feedback module and a data management platform, wherein the virtual reality hardware equipment is electrically connected with the self-developed respiration sensing unit, the feedback module and the data management platform; the data processing unit is electrically connected with the self-research respiration sensing unit, the feedback module and the data management platform. The virtual reality hardware equipment, the self-research respiration sensing unit, the data processing unit, the feedback module and the data management platform are matched with one another, a high-simulation lung function examination virtual scene is constructed, and an immersive animation and voice guide mechanism is combined, so that the dependency threshold of the examination process on the high adaptability of a patient is effectively reduced; the workload of medical staff is relieved, the lung function detection efficiency is finally improved, and the accuracy and clinical reliability of a detection result are guaranteed.

The invention discloses an immersive lung rehabilitation training system based on virtual reality and lung function examination, and relates to the technical field of lung rehabilitation medical equipment, and the system comprises a 3D immersive display module used for presenting an immersive virtual scene; the lung function examination module is used for detecting lung function indexes of the patient; according to the immersive lung rehabilitation training system based on virtual reality and lung function examination, through a personalized training scheme generation module based on artificial intelligence, the effect is improved by utilizing limb actions and breathing conditions captured in real time and combining vital capacity indexes of each patient after training under each scene and parameter; according to the method, the matching effect of each patient with each scene and each scene parameter can be analyzed, and then the deviation condition of the body action and breathing condition of different patients under each scene and each parameter when the different patients are most matched with the scene and each parameter is analyzed, so that the most suitable scene and parameters are customized for the patients, and the effect of training personalized customization is achieved.

This utility model belongs to the technical field of pulmonary function testing instruments, and discloses a filter and a pulmonary function testing instrument. The filter includes a mouthpiece, a filter housing, a fastening mechanism, and a sealing mechanism. One end of the mouthpiece has an air inlet. The filter housing includes an air inlet pipe, which is detachably connected to the end of the mouthpiece away from the air inlet. The fastening mechanism includes a fastening protrusion disposed on the mouthpiece. The air inlet pipe has a fastening groove, which includes a guide section and a locking section, the guide section and the locking section being angled. The sealing mechanism includes a sealing ring and a sealing edge. The sealing ring is disposed on one of the mouthpiece and the air inlet pipe, and the sealing edge is disposed on the other. The sealing ring and the sealing edge can selectively abut against each other. The mouthpiece has a locked state and an unlocked state. When the mouthpiece is in the locked state, the fastening protrusion is located within the locking section, and the sealing ring abuts against the sealing edge. This improves the connection stability and sealing performance at the connection between the mouthpiece and the filter housing.

This invention relates to an instrument integrating pulmonary function testing and respiratory function training, and its method of use. It includes a pulmonary function host, a flow simulation mechanism, and a detection cylinder. The flow simulation mechanism is equipped with a control host and a clamping sleeve, with multiple Hall sensors mounted on the clamping sleeve. A simulation cylinder with the same structure as the detection cylinder is mounted on the flow simulation mechanism. One end of the simulation cylinder is equipped with a suction / expansion unit simulating inhalation and exhalation. Inside the simulation cylinder is a differential pressure flow sensing module for detecting airflow, located between the suction / expansion unit and a second track, and connected to the pulmonary function host. The control host receives data from the multiple Hall sensors and controls the operation of the suction / expansion unit. Using the method of this application, high-precision pulmonary function testing can be achieved while physically achieving absolute isolation during testing, completely eliminating the risk of cross-infection.

1. The name of the design product: lung function detector. 2. The use of the design product: for lung function detection. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.